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CTN MIEDAR Studies Baseline Comparison: Methadone vs Psychosocial Participants Maxine Stitzer, Ph.D. AAAP December, 2003. Background Rationale & hypotheses Findings Conclusions. Drugs are Positive Reinforcers. They Make People Feel Good.
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CTN MIEDAR Studies Baseline Comparison: Methadone vs Psychosocial ParticipantsMaxine Stitzer, Ph.D.AAAP December, 2003 • Background • Rationale & hypotheses • Findings • Conclusions
Drugs are Positive Reinforcers They Make People Feel Good.
Abstinence Continued Use Drug Abusers Straddle the Fence
Methods are needed to: Drug Abstinence Continued Drug Use - counteract ambivalence- increase motivation for change
Motivational Incentives Offer tangible incentives for drug abstinence Make abstinence a more attractive option through positive reinforcement of behavior change
Incentive Therapies Promote Abstinence • Cocaine • (Higgins et al., 1994; Silverman et al., 1996; Petry & Martin, 2002) • Alcohol • (Petry et al., 2000) • Opioids • (Bickel et al., 1997; Silverman et al., 1996) • Marijuana • (Budney et al., 1991, Budney et al., 2000) • Nicotine (Tobacco smoking) • (Stitzer & Bigelow, 1984; Roll et al., 1996)
Problem: Cost • Society can’t afford this • Our program can’t afford this
Intermittent Reward Reduces CostNancy Petry’s “Fishbowl” • Drug-free patient draws from the “fishbowl” • Only 50% of draws are “winners” • Three types of prizes: - small (toiletries; food) - large (cordless phone; CD player) - jumbo (TV; video)
Eligible Patients • Stimulant Abusers • either cocaine or methamphetamine
Random Assignment • Usual care • Enhanced care with incentives
Sample Collection Twice Weekly
Good Job Abstinence Bowl Small Good Job Jumbo Large Small Small Large Small Good Job Good Job Good Job Good Job Good Job Good Job Good Job Small
Examples ofIncentive Prizes SMALL ($1-$5 items) JUMBO ($80-$100 items) LARGE ($20 items)
Draws Escalate with Stimulant-Free Test Results 5 4 # Draws 3 2 1 Weeks Drug Free
Bonus Draws for Marijuana and/or Opiate Abstinence # Draws 2 2 2 2 2 Weeks Drug Free
Total Earnings • $400 in prizes could be earned on average • If participant tested negative for all targeted drugs over 12 consecutive weeks
Two MIEDAR Study Samples • Psychosocial (8 clinics; N = 415) • New admissions • Self-reported stimulant use within past 2 weeks (74%) or within 2 weeks of entering a controlled environment (23%) • Methadone (6 clinics; N = 388) • In treatment 1-36 months • Stimulant positive urine within past 2 weeks
Baseline Comparison: Why Do IT? • Unique opportunity to characterize stimulant abusers entering different modalities • Results may suggest differential service needs
Baseline Comparison: Methods • Data derived from selected questions in study intake interview • Areas of interest: • Demographics • Psychosocial characteristics (employment, education, etc) • Health problems(medical & psychiatric) • Drug use (stimulants, opiates, alcohol, cannabis)
Hypotheses • Some patient characteristics may differ due to differential referral patterns (e.g. criminal justice) • Methadone patients will generally have more severe psychosocial and drug use problems due to their history of concurrent opiate and stimulant abuse
METH (N = 388) PSOC (N = 415) P value Gender (% male) 56 45 <.01 Race (% Caucasian) 26 36 <.01 Age (mean years) 42 36 <.01 Basic Demographics Subsequent analyses adjusted for gender, race & age
METH PSOC OR† CJ referral (%) 6 33 0.1 Parole/Probation (%) 16 35 0.3 Legal Status †OR is methadone vs drug-free
Drug Use: Stimulants PSOC METH OR Dependence/Abuse (% with diagnosis) 82 84 ___ First Study Urine 76 26 7.8 (% positive)
Drug Use: Opiates METH PSOCOR Dependence/Abuse (% with diagnosis) 80 9 48 First Study Urine (% positive) 47 3 30
Drug Use: Alcohol METH PSOCOR Dependence/Abuse (% with diagnosis) 17 42 0.3 First Study BAL (% positive) 1 1 __
Drug Use: Cannabis METH PSOCOR Dependence/Abuse (% with diagnosis) 8 21 0.5 First Study Urine (% positive) 12 11 __
Drug Use: Other ASI past 30 days; % with any use SEDATIVES METHPSOC 25 6 NICOTINE METH PSOC 91 79
Data Summary • Stimulant abusers entering methadone are: • Older • Less likely to have work history • More likely to have medical problems • More likely to be using opiates, stimulants & sedatives • Less likely to be alcohol or cannabis dependent
Data Summary • Both groups have: • Substantial unemployment • Substantial psychiatric co-morbidity • High rates of medical problems • High rates of nicotine use • Modest rates of cannabis use
Limitations • Data apply only to stimulant abusers • Clinics may or may not be representative • Methadone have been in treatment longer • Methadone are pre-selected for opiate abuse
Conclusions: Service Needs • Common service needs suggested: • Employment; co-occurring medical & psychiatric • Shift in emphasis from cannabis to nicotine • Differential service needs suggested: • Effective interventions for on-going polydrug (opiate, stimulant and sedative) use in methadone • Relapse prevention in outpatient psychosocial
Conclusions: CTN Potential • CTN is a great place to collect data on large samples of community treatment patients • Access to special patient subgroups of interest to service providers